DaBuDa.
AI agent development

An AI agent.
With clear limits.

An agent needs more than a prompt. DaBuDa helps service businesses build an assistant around a defined task, approved information and actions that people can review.

Choose the task

Start with one useful job.

Define what the assistant should do, what it must not do and who owns the result. A knowledge assistant and an agent that changes business records need different controls.

  • Answer questions from an approved document collection with source references.
  • Assist with enquiries and prepare the next step in an existing workflow.
  • Connect agreed tools with explicit permissions, limits and human approval.
Implementation

From prototype to a tested pilot.

We combine workflow discovery, integration and evaluation. Availability of APIs, access to data and platform licences are checked before committing to an implementation scope.

  • A task specification, permitted actions and escalation rules.
  • A bounded knowledge source and tool integration where appropriate.
  • Scenario tests for missing information, conflicting instructions and tool failures.
  • Run traces, known limitations and evidence for a human release decision.
Release and handover

Keep a person in control.

Refunds, commitments, changes to important records and other consequential actions need agreed approval. A successful demonstration is not proof of safe unrestricted operation.

  • Review failures and retest the changes before expanding access.
  • Document the configuration, ownership and support boundaries.
  • Assess ongoing monitoring and updates as a separate scoped engagement.
Product evidence

Built by DaBuDa

Nova is a hospitality assistant connecting WhatsApp, Lodgify and human approval. Explore what was built and the limits of the product demonstration.

Watch the Nova story →
Before the first conversation

Questions worth asking.

Can you test an agent we already have?

Yes. We can scope a focused evaluation and release-readiness review without rebuilding the whole system.

Do you guarantee autonomous operation?

No. We agree the scope of autonomy and escalation with you. Testing supports your release decision; it is not a guarantee of safety or regulatory compliance.

Will our staff learn to use it?

Handover and practical training can be included in the agreed scope. Project Hub shows our approach to hands-on learning and review of project evidence.

Start with a clear brief

One workflow.
A practical next step.

Describe the task, the systems involved and what a useful first result would look like.

Discuss your workflow →